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Review of technological progress in carbon dioxide capture, storage, and utilization
S Davoodi, M Al-Shargabi, DA Wood… - Gas Science and …, 2023 - Elsevier
Emissions of substantial amounts of greenhouse gases (GHG) accumulating in the
atmosphere have caused climate alterations and increased global temperatures. Several …
atmosphere have caused climate alterations and increased global temperatures. Several …
Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges
Hydrogen, as a clean and efficient energy source, is important in achieving zero-CO 2
targets. This paper explores the potential of hydrogen geologic storage (HGS) in China for …
targets. This paper explores the potential of hydrogen geologic storage (HGS) in China for …
Data-driven machine learning models for the prediction of hydrogen solubility in aqueous systems of varying salinity: Implications for underground hydrogen storage
Hydrogen is a clean and sustainable renewable energy source with significant potential for
use in energy storage applications because of its high energy density. In particular …
use in energy storage applications because of its high energy density. In particular …
Improving predictions of shale wettability using advanced machine learning techniques and nature-inspired methods: Implications for carbon capture utilization and …
H Zhang, HV Thanh, M Rahimi, WJ Al-Mudhafar… - Science of The Total …, 2023 - Elsevier
The utilization of carbon capture utilization and storage (CCUS) in unconventional
formations is a promising way for improving hydrocarbon production and combating climate …
formations is a promising way for improving hydrocarbon production and combating climate …
Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables
Hydrogen (H 2) absorption percentage by porous carbon media (PCM) is important for
identifying efficient H 2 storage media. PCM with H 2-uptakes of greater than 5 wt% are …
identifying efficient H 2 storage media. PCM with H 2-uptakes of greater than 5 wt% are …
Combined machine-learning and optimization models for predicting carbon dioxide trap** indexes in deep geological formations
Emissions of carbon dioxide (CO 2) are a major source of atmospheric pollution contributing
to global warming. Carbon geological sequestration (CGS) in saline aquifers offers a …
to global warming. Carbon geological sequestration (CGS) in saline aquifers offers a …
Catalyzing net-zero carbon strategies: Enhancing CO2 flux Prediction from underground coal fires using optimized machine learning models
Underground coal fires release substantial carbon dioxide (CO 2), posing significant
environmental and health threats. Accurate prediction of surface CO 2 emissions in these …
environmental and health threats. Accurate prediction of surface CO 2 emissions in these …
Predicting uniaxial compressive strength from drilling variables aided by hybrid machine learning
Awareness of uniaxial compressive strength (UCS) as a key rock formation parameter for the
design and development of gas and oil field plays. It plays an essential role in the selection …
design and development of gas and oil field plays. It plays an essential role in the selection …
Modeling the thermal transport properties of hydrogen and its mixtures with greenhouse gas impurities: A data-driven machine learning approach
HV Thanh, M Rahimi, S Tangparitkul… - International Journal of …, 2024 - Elsevier
This study introduces machine learning (ML) algorithms to predict hydrogen (H 2)
thermodynamic properties for geological storage, focusing on its mixtures with natural gas …
thermodynamic properties for geological storage, focusing on its mixtures with natural gas …
Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern–a theoretical study
The utilization of CO 2 flooding is a widely applied enhanced oil recovery (EOR) technique
in mature onshore oil fields. As well as being able to increase oil production and recovery it …
in mature onshore oil fields. As well as being able to increase oil production and recovery it …